Measuring Caregiver Networks of Older Adults with Alzheimer's Disease

测量患有阿尔茨海默病的老年人的护理人员网络

基本信息

  • 批准号:
    10728621
  • 负责人:
  • 金额:
    $ 80.88万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2023
  • 资助国家:
    美国
  • 起止时间:
    2023-08-01 至 2028-04-30
  • 项目状态:
    未结题

项目摘要

The overall goal of this proposal is to use a social network measurement methodology (Network Canvas) to capture expanded definitions of family caregivers related to people living with Alzheimer’s disease and related dementias (AD/ADRD), with special focus on positive/negative relationship aspects. This proposed methodology will advance PWD-caregiver dyad research to encompass measuring real-world PWD-caregiver networks. Among people living with Alzheimer’s disease (PWD), there is a significant population heterogeneity in how individuals define “family” caregivers. Most studies concentrate on the caregiver-PWD dyad with one singular primary caregiver. This dyad approach may not be represent real-life, since multiple family members and friends support the care of PWD. Multiple caregivers may also have differing ideas of obligation, expectations of care, and positive/negative aspects of care. Our prior research has shown that interactions between caregivers can be positive (e.g., teamwork to convince PWD to accept help) or negative (e.g., conflicts causing emotional distress). There is a lack of research on how these interpersonal interactions can be measured on a network level. To mitigate these relationship measurement gaps, our team has built a free, open-source, NIH funded software suite for researchers called Network Canvas, that identifies and maps social network data. We aim to: Aim 1. Measure and map the social network of caregivers of PWD using the Network Canvass methodology, to examine the population heterogeneity in how individuals define “family” caregivers. Aim 2. Measure network predictors of positive wellbeing for caregivers and PWD. We will conduct a large multi-site (IL, IN, HI) study of 200 PWD caregiver networks (up to 1000 people) - using snowball recruitment to identify/interview members of the networks – and the Network Canvas methodology. Recruitment will be through interdisciplinary community partners, physician offices, and ongoing NIH- funded cohorts - representing rural/urban, ethnic/racially diverse, LGBTQ groups. We anticipate multiple tiers of PWD-Caregiver networks: 1.) consentable PWD (mild, moderate AD) with caregivers, 2.) Caregivers only (PWD with severe dementia/unable to consent), 3.) consentable PWD only, no caregivers (un-befriended). Mixed method interviews will examine detailed patient-centered outcome measures, interpersonal interactions (positive/negative), and effects of the networks on the individual. Through this research, we plan to have a 1.) Better understanding of how to measure caregiver networks, 2.) Identify which aspects of caregiver networks are most predictive of the impact on psychological and physical well-being of caregivers and PWD, and 3.) Operationalize a network measurement approach to understand caregiver systems that will be shareable with other researchers to provide larger benefit for the caregiver-PWD research community.
本建议的总体目标是使用社会网络测量方法(网络画布)。

项目成果

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Michelle Birkett其他文献

Michelle Birkett的其他文献

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{{ truncateString('Michelle Birkett', 18)}}的其他基金

Network Canvas 2.0: Enhancing network data capture for drug use and HIV research
Network Canvas 2.0:增强药物使用和艾滋病毒研究的网络数据捕获
  • 批准号:
    10715902
  • 财政年份:
    2023
  • 资助金额:
    $ 80.88万
  • 项目类别:
Developing and Testing a Social Network Data Capture Tool to Improve Partner Services
开发和测试社交网络数据捕获工具以改进合作伙伴服务
  • 批准号:
    10426189
  • 财政年份:
    2020
  • 资助金额:
    $ 80.88万
  • 项目类别:
Simulation Modeling to Understand and Address HIV Disparities in Racial, Ethnic, and Sexual Minority Populations
通过模拟建模来理解和解决种族、民族和性别少数群体中的艾滋病毒差异
  • 批准号:
    10320072
  • 财政年份:
    2020
  • 资助金额:
    $ 80.88万
  • 项目类别:
Developing and Testing a Social Network Data Capture Tool to Improve Partner Services
开发和测试社交网络数据捕获工具以改进合作伙伴服务
  • 批准号:
    10222638
  • 财政年份:
    2020
  • 资助金额:
    $ 80.88万
  • 项目类别:
Simulation Modeling to Understand and Address HIV Disparities in Racial, Ethnic, and Sexual Minority Populations
通过模拟建模来理解和解决种族、民族和性别少数群体中的艾滋病毒差异
  • 批准号:
    10158268
  • 财政年份:
    2020
  • 资助金额:
    $ 80.88万
  • 项目类别:
Simulation Modeling to Understand and Address HIV Disparities in Racial, Ethnic, and Sexual Minority Populations
通过模拟建模来理解和解决种族、民族和性别少数群体中的艾滋病毒差异
  • 批准号:
    10543985
  • 财政年份:
    2020
  • 资助金额:
    $ 80.88万
  • 项目类别:
Enabling cloud deployment of a network data capture tool to improve Partner Services
支持网络数据捕获工具的云部署以改善合作伙伴服务
  • 批准号:
    10609285
  • 财政年份:
    2020
  • 资助金额:
    $ 80.88万
  • 项目类别:
Developing and Testing a Social Network Data Capture Tool to Improve Partner Services
开发和测试社交网络数据捕获工具以改进合作伙伴服务
  • 批准号:
    10082089
  • 财政年份:
    2020
  • 资助金额:
    $ 80.88万
  • 项目类别:
Simulation Modeling to Understand and Address HIV Disparities in Racial, Ethnic, and Sexual Minority Populations
通过模拟建模来理解和解决种族、民族和性别少数群体中的艾滋病毒差异
  • 批准号:
    10011153
  • 财政年份:
    2020
  • 资助金额:
    $ 80.88万
  • 项目类别:
netCanvas: Development, Hardening, and Dissemination of a Software Suite for the Collection of Complex Network and Contextual Data in HIV and Drug Research
netCanvas:开发、强化和传播用于收集 HIV 和药物研究中复杂网络和上下文数据的软件套件
  • 批准号:
    9306043
  • 财政年份:
    2016
  • 资助金额:
    $ 80.88万
  • 项目类别:
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